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End of training

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  1. README.md +16 -14
  2. generation_config.json +6 -0
README.md CHANGED
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  ---
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- base_model: deepseek-ai/deepseek-coder-1.3b-base
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- datasets:
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- - generator
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- library_name: peft
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  license: other
 
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  tags:
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  - trl
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  - sft
@@ -16,10 +14,11 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/stojchets/huggingface/runs/7hshwwdm)
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  # sft4
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- This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the generator dataset.
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 16
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- - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 200
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- - num_epochs: 1
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  ### Training results
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  ### Framework versions
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- - PEFT 0.10.0
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- - Transformers 4.43.0.dev0
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- - Pytorch 2.2.2+cu121
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  - Datasets 2.19.2
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- - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
 
 
 
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  license: other
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+ base_model: deepseek-ai/deepseek-coder-1.3b-base
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  tags:
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  - trl
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  - sft
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # sft4
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+ This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.0059
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.15
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+ - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 8.7727 | 2.3088 | 100 | 5.0928 |
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+ | 4.9666 | 4.6176 | 200 | 5.0059 |
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  ### Framework versions
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+ - Transformers 4.45.0
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+ - Pytorch 2.5.1+cu124
 
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  - Datasets 2.19.2
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+ - Tokenizers 0.20.3
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 32013,
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+ "eos_token_id": 32014,
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+ "transformers_version": "4.45.0"
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+ }